I am a software developer and researcher with a Masters in Computer Science (AI Track) from Binghamton University, currently working at Memorial Sloan Kettering Cancer Center. My expertise include DevOps, machine learning, and computer vision.
My Masters research involved optimizing edge-based SLAM techniques and tailoring them for deployment on small drones with limited compute power.
I am planning on getting the AWS Certified Data Engineer certification. This post is a collection of my notes I plan on taking throughout my preparation journey. Feel free to use this resource for your own preparation. This is a work in progress so check back soon for further additions to the content. DISCLAIMER: The layout of these notes and the ordering of the content is strictly based on the official study guide provided by AWS, which is an excellent resource and I highly recommend checking it out....
While working on my research project, I ran out of space on my Nvidia Jetson AGX Xavier due to docker containers and limited space on the Jetson. With no choice but to use external storage, I spent almost an entire day trying to figure out how to mount an SD Card and configure Docker to use that storage. This blog post if for those in a similar situation. Preliminary Setup My development environment is based on the following:...
Denoising Diffusion Probabilistic Models (DDPMs) are quickly taking over the world, especially since Dall-E 2 and Midjounery came out. It is quite interesting how powerful they are considering they are based on Markov Chains which were introduced all the way back in 1906. Diffusion models are based on a forward process and a backward process. In the forward process, noise is added to the dataset in incremental steps through a Gaussian distribution....